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An MPC-Based Power Management of a PV/Battery System in an Islanded DC Microgrid

机译:孤岛式直流微电网中基于MPC的光伏/电池系统电源管理

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In this paper, a power management strategy for a photovoltaic (PV)/battery system in an islanded DC microgrid is proposed based on a Model Predictive Control (MPC) approach. A PV system and a battery storage source are connected to a common DC bus through two DC/DC converters that are providing power to the loads. The considered PV-Battery system is presented by a nonlinear model with four operational modes. As part of the proposed MPC power management strategy, an optimization problem is formulated to meet the voltage performance in the system with respect to operating conditions and constraints. The aim of the proposed MPC is to control the DC/DC converter to extract the maximum power from the PV system under different weather conditions and also to control the bi-directional DC/DC converter for charging and discharging the battery by considering the State of Charge SoC of the battery. The battery storage source is incorporated into the system to compensate power generation due to possible fluctuation in PV or changes in load demand, and as a result, to regulate DC bus voltage and supply the loads when necessary. The simulation results demonstrate the validity of the proposed method.
机译:本文基于模型预测控制(MPC)方法,提出了孤岛直流微电网中光伏(PV)/电池系统的电源管理策略。光伏系统和电池存储源通过两个向负载供电的DC / DC转换器连接到公共DC总线。所考虑的光伏电池系统由具有四个工作模式的非线性模型表示。作为提出的MPC电源管理策略的一部分,针对工作条件和约束条件,制定了一个优化问题来满足系统中的电压性能。提出的MPC的目的是控制DC / DC转换器在不同的天气条件下从光伏系统中提取最大功率,并通过考虑电池的状态来控制双向DC / DC转换器对电池进行充电和放电。为电池的SoC充电。电池存储源已集成到系统中,以补偿由于PV可能波动或负载需求变化而引起的发电,从而调节直流母线电压并在必要时为负载供电。仿真结果证明了该方法的有效性。

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